Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 457c9572d1abaa91824cb641a22ede57f36825e10ea6b3abe93ce136d706b629
- Size of remote file:
- 4.22 kB
- SHA256:
- ae027296dbf284cd32085f6804e86f4640902e99f6c615c07a95d13b2567ec81
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